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SAS DI

Why Should You Take

SAS DI

SAS Data Integration Studio (SAS DI) is ETL tool. It provides a powerful visual design for building, implementing and managing data integration processes regardless of data sources, applications, or platforms. To learn this tool Base and Advance SAS knowledge is key. SAS DI is  easy-to-manage, drag and drop tool it’s easily display, visualize, and understand enterprise metadata and processes.
Creation and management of data and metadata are improved with extensive impact analysis of potential changes made across all data integration processes.

Instructor Led SAS Live Training

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Comfortable Time

(If it's not available on schedule batch)

COURSE CONTENT:

OVERVIEW:

  • Define the architecture of the platform for SAS Business Analytics

  • Describe the available interfaces

  • Define the change management feature of SAS Data Integration Studio.

WORKING WITH TRANSFORMATIONS:

  • Discuss and use the Extract and Summary Statistics transformation

  • Discuss and use the Loop Transformations

  • Investigate where status handling is available

  • Discuss and use the Data Validation transformation

  • Discuss and use the Rank, Transpose, Append, List and Sort transformations

  • Discuss and use the Apply Lookup Standardization transformation

  • Define the Concept of a Checkpoint.

DEFINING GENERATED TRANSFORMATIONS:

  • Define SAS code transformation templates

  • Create a custom transformation

CREATING METADATA FOR SOURCE AND TARGET DATA:

  • Define administrative tasks to be performed for SAS Data Integration Studio

  • Describe the New Library Wizard

  • Use Register Tables wizard to register source data

  • Use Register Tables wizard to register metadata for a Microsoft Access database table using ODBC 

  • Register metadata for a comma-delimited external file

  • Import and Export Metadata.

WORKING WITH TABLES AND THE TABLE LOADER TRANSFORMATION:

  • Discuss reasons to use the Table Loader transformation

  • Discuss various load styles provided by the Table Loader transformation

  • Discuss various types of keys and how to define in SAS Data Integration Studio

  • Discuss indexes and how to define in SAS Data Integration Studio

  • Discuss Table Loader options for keys and indexes.

CREATING METADATA FOR TARGET DATA AND JOBS:

  • Describe features of the New Tables wizard

  • Discuss SAS packages

  • Discuss importing and exporting of relational metadata

  • Discuss components of SQL Join’s Designer window

  • Investigate mapping and propagation

  • Work with performance statistics

  • Generate reports on metadata for tables and jobs

  • Define Impact and Reverse Impact Analysis.

WORKING WITH SLOWLY CHANGING DIMENSIONS:

  • List the functions of the SCD Type 2, SCD Type 1 transformation

  • Define business keys

  • Define surrogate and retained keys.  Detect and track changes

  • Discuss the Lookup transformation.

SUPPORT

  • Study material: Notes and Books

  • Daily assignments with respect to chapter for hands on experience

  • Interview preparation

  • Resume preparation help

Frequently Asked Questions

Q: What is the Power BI for Clinical Trials course?

  • A: It is a live, instructor-led masterclass that teaches you to build automated, AI-powered clinical trial dashboards in Microsoft Power BI — covering CDISC data, DAX, Copilot AI and a hands-on capstone project.

Q: Do I need SAS, R or coding experience to join?

  • A: No. The course is beginner-friendly and starts from the Power BI basics. Existing SAS or R programmers will find it a powerful, complementary addition to their profile.

Q: Is this course suitable for freshers?

  • A: Yes. Freshers finish with a real, portfolio-ready clinical dashboard that demonstrates job-ready skills in interviews.

Q: Does the course cover Microsoft Copilot and AI in Power BI?

  • A: Yes. AI runs through the whole course — Copilot for DAX and measures, AI visual suggestions, natural-language Q&A, AI report summaries and anomaly detection.

Q: Will this help me prepare for the PL-300 certification?

  • A: Yes. The skills map directly to the Microsoft Certified: Power BI Data Analyst Associate (PL-300) exam, so the course also serves as strong PL-300 preparation.

Q: Is the training live or recorded?

  • A: Sessions are live and mentor-led, with recordings provided so you can revise anytime.

Q: Will I get a certificate?

  • A: Yes, you receive an Eduvercity Course Completion Certificate.

Q: What career roles can I target after this course?

  • A: Clinical BI Analyst, Clinical Data Visualization Specialist, Biometrics Reporting Lead, Analytics Manager, and Power BI Data Analyst roles in pharma, biotech and CROs.

Q: How is this different from a general Power BI course?

  • A: It is built specifically for clinical research — using real CDISC/SDTM/ADaM structures and clinical dashboards — rather than generic sales or finance examples.

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